The deep learning revolution and subsequent surge in the development of artificial intelligence (AI) didn’t take long to reach the world of medicine. In this special series on “Medical Artificial Intelligent Research”, we explore the latest developments through a collection of editorials, original articles, and reviews that set the stage for the challenges and opportunities in translating AI and related technologies into clinical practice.
Editorial on Medical Artificial Intelligent Research
Medical artificial intelligent research: translating artificial intelligence into clinical practice
Blockchain: chaining digital health to a new era
Original Article on Medical Artificial Intelligent Research
An artificial intelligent platform for live cell identification and the detection of cross-contamination
Web-based study on Chinese dermatologists’ attitudes towards artificial intelligence
Altered brain language network in idiopathic peripheral facial paralysis patients with dysarthria
Artificial intelligence-tutoring problem-based learning in ophthalmology clerkship
Deep learning LI-RADS grading system based on contrast enhanced multiphase MRI for differentiation between LR-3 and LR-4/LR-5 liver tumors
Application of neural network model in assisting device fitting for low vision patients
An artificial intelligence model for the simulation of visual effects in patients with visual field defects
Distinguishing risk factors between congenital anophthalmia and microphthalmia using multivariable logistic regression
Automatic identification of myopia based on ocular appearance images using deep learning
Deep learning-based automated diagnosis of fungal keratitis with in vivo confocal microscopy images
Fast screening for children’s developmental language disorders via comprehensive speech ability evaluation—using a novel deep learning framework
Attitudes towards medical artificial intelligence talent cultivation: an online survey study
Quantitative analysis of functional filtering bleb size using Mask R-CNN
Differentiate cavernous hemangioma from schwannoma with artificial intelligence (AI)
Review Article on Medical Artificial Intelligent Research
Using artificial intelligence to improve medical services in China
The combination of brain-computer interfaces and artificial intelligence: applications and challenges
A review of the application of deep learning in medical image classification and segmentation
Application of artificial intelligence in anterior segment ophthalmic diseases: diversity and standardization
Letter to the Editor on Medical Artificial Intelligent Research
Translating artificial intelligence into clinical practice
Disclosure:
The series “Medical Artificial Intelligent Research” was commissioned by the editorial office, Annals of Translational Medicine without any sponsorship or funding. Haotian Lin and Limin Yu served as the unpaid Guest Editors for the series.